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149 results for “Wavelet”
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Research ArticleOpen accessEvery word in the titleOptimization of Reservoir Operation Using Combined Genetic Algorithm and Wavelet Transform MethodL. Ebrahimi, G.A. Barani, H. EbrahimiDams construction are high cost projects, and therefore, optimal using of reservoir storages behind dams is an important task in water resources management. In last decades, various optimization techniques have been used for reservoir operation. Among the new methods, Genetic Algorithm (GA) and wavelet transform (WT) have been widely used in recent years. In this study, GA as well as … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 3 · 30 Sep 2007 · 7,514 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomated Breast Cancer Diagnosis based on GVF-Snake Segmentation, Wavelet Features Extraction and Neural Network ClassificationAbderrahim Sebri, Jihène Malek, Rached TourkiBreast cancer accounts for the second most cancer diagnoses among women and the second most cancer deaths in the world. In fact, more than 11000 women die each year, all over the world, because this disease. The automatic breast cancer diagnosis is a very important purpose of medical informatics researches. Some researches has been oriented to make automatic the diagnosis … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 7,414 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWavelet and ANN Based Relaying for Power Transformer ProtectionS. Sudha, A. Ebenezer JeyakumarThis paper presents an efficient wavelet and neural network (WNN) based algorithm for distinguishing magnetizing inrush currents from internal fault currents in three phase power transformers. The wavelet transform is applied first to decompose the current signals of the power transformer into a series of detailed wavelet components. The values of the detailed coefficients obtained can accurately discriminate between an … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 6,784 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpeaker Identification: A Hybrid Approach Using Neural Networks and Wavelet TransformMuzhir Shaban Al-Ani, Thabit Sultan Mohammed, Karim M. AljeboryIn speaker identification systems, a database is constructed from the speech samples of known speakers. The approach implemented in this paper is hybrid, where the wavelet transform and neural networks are used together to form a system with improved performance. Features are extracted by applying a discrete wavelet transform (DWT), while a neural network (NN) is used for formulating the … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 7,075 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Detection and Classification Algorithm for Power Quality Disturbances using WaveletsC. Sharmeela, M. R. Mohan, G. Uma, J. BaskaranThis study presents a novel method to detect and classify power quality disturbances using wavelets. The proposed algorithm uses different wavelets each for a particular class of disturbance. The method uses wavelet filter banks in an effective way and does multiple filtering to detect the disturbances. A qualitative comparison of results shows the advantages and drawbacks of each wavelet when … …American Journal of Applied Sciences, Vol. 3, Issue 10 · 31 Oct 2006 · 6,634 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEdge Defection Prediction by Using Wavelet CompressionYas A.K. AlsultannyDigital image have been expanding in usage. The importance of image compression algorithms have been increased, to produce smaller file size with a lower computational requirement. The wavelet transform offers a natural decomposition of images at multiple resolutions, since the wavelet transform can decompose images into various multiresolution subbands, where the correlation exists. A novel technique for image compression by … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,292 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWavelet Shrinkage in Noise Removal of Hyperspectral Remote Sensing DataHelmi Z.M. Shafri, Paul M. MatherIt is common in hyperspectral remote sensing studies to perform analysis based on derivative spectroscopy. However, this technique is particularly sensitive to noise in the data. Thus, noise removal is essential before any derivative analysis. Various methods of noise removal are described in the literature. A newly developed method based on the wavelet transform appears promising, though there is little … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 7,017 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWind Speed Simulation Using WaveletsA. H. Siddiqi, S. Khan, S. RehmanMost of the renewable energy sources have direct or indirect link with the sun. Wind is also a form of solar energy. It is initiated by uneven heating of the atmospheric air by the sun, affected from the topography and surface roughness of the earth's surface and rotation of the earth. The earth's terrain, water surfaces and vegetation cover modifies … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 7,553 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Compressing Ultrasonic Data Algorithm Based on WaveletsMounir Hergli, Jamel Baili, Faouzi Bouslama, Kamel BesbesIn this paper, we propose a novel and effective algorithm for compressing large volumes of data recorded in underwater applications, using a laboratory designed experimental setup. This data represents samples of ultrasonic signals acquired at different geometric positions of a water tank. The proposed algorithm was based on Wavelets and consists of two processing phases including a prefiltering stage using … …American Journal of Applied Sciences, Vol. 2, Issue 12 · 31 Dec 2005 · 7,002 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCardiovascular Diseases Identification Using Wavelet Optimization and Modify Cuckoo Search AlgorithmBanit Negi, Abhilekh Bartwal, Agya Ram Verma et al.The problem the author aims to solve is the extraction of discriminatory features in ECG (Electrocardiogram) signals for classification purposes. The scope of the work is to propose a new method for building wavelets that best reflect the discriminatory capacity of ECG signals. The approach involves optimizing the wavelets specifically for the classification function under consideration. To address the problem, … …Journal of Computer Science, Vol. 19, Issue 8 · 3 Aug 2023 · 5,410 accessesView PDFCite